Samuel K. Asinof

641 total citations
10 papers, 342 citations indexed

About

Samuel K. Asinof is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Samuel K. Asinof has authored 10 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Cognitive Neuroscience and 2 papers in Behavioral Neuroscience. Recurrent topics in Samuel K. Asinof's work include Neuroscience and Neuropharmacology Research (4 papers), Stress Responses and Cortisol (2 papers) and Neural dynamics and brain function (2 papers). Samuel K. Asinof is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Stress Responses and Cortisol (2 papers) and Neural dynamics and brain function (2 papers). Samuel K. Asinof collaborates with scholars based in United States and Germany. Samuel K. Asinof's co-authors include Jeffry S. Isaacson, Tracie A. Paine, Hiroyuki Kato, Geoffrey W. Diehl, Rebecca M. Boumil, Barbara Beyer, Pei-Ann Lin, Nick J. Edwards, Wayne N. Frankel and Wayne N. Frankel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Annual Review of Neuroscience.

In The Last Decade

Samuel K. Asinof

9 papers receiving 340 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Samuel K. Asinof United States 8 205 183 66 35 31 10 342
Arghya Mukherjee United States 9 204 1.0× 145 0.8× 80 1.2× 25 0.7× 22 0.7× 12 353
Kentaro Tao Japan 9 245 1.2× 336 1.8× 118 1.8× 26 0.7× 65 2.1× 12 500
Hysell V. Oviedo United States 10 250 1.2× 263 1.4× 129 2.0× 39 1.1× 7 0.2× 13 464
Nicholas I. Woods United States 7 185 0.9× 203 1.1× 37 0.6× 16 0.5× 14 0.5× 7 296
Loai Alzghoul Jordan 10 257 1.3× 106 0.6× 66 1.0× 54 1.5× 66 2.1× 14 422
Jordan M. Sorokin United States 6 277 1.4× 268 1.5× 81 1.2× 19 0.5× 58 1.9× 6 481
Ernie Hwaun United States 12 359 1.8× 347 1.9× 63 1.0× 51 1.5× 12 0.4× 12 489
Danqian Liu United States 9 393 1.9× 244 1.3× 57 0.9× 12 0.3× 10 0.3× 14 568
Azat Nasretdinov Russia 10 250 1.2× 255 1.4× 39 0.6× 9 0.3× 19 0.6× 22 365
Melissa S. Haley United States 6 136 0.7× 136 0.7× 45 0.7× 16 0.5× 15 0.5× 7 269

Countries citing papers authored by Samuel K. Asinof

Since Specialization
Citations

This map shows the geographic impact of Samuel K. Asinof's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Samuel K. Asinof with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel K. Asinof more than expected).

Fields of papers citing papers by Samuel K. Asinof

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel K. Asinof. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Samuel K. Asinof. The network helps show where Samuel K. Asinof may publish in the future.

Co-authorship network of co-authors of Samuel K. Asinof

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel K. Asinof. A scholar is included among the top collaborators of Samuel K. Asinof based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samuel K. Asinof. Samuel K. Asinof is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Asinof, Samuel K., Aljoscha Nern, Edward M. Rogers, et al.. (2025). Parallel neuronal ensembles control behavior across sensorimotor levels in Drosophila. bioRxiv (Cold Spring Harbor Laboratory).
2.
Asinof, Samuel K. & Gwyneth M Card. (2024). Neural Control of Naturalistic Behavior Choices. Annual Review of Neuroscience. 47(1). 369–388. 3 indexed citations
3.
Lin, Pei-Ann, Samuel K. Asinof, Nick J. Edwards, & Jeffry S. Isaacson. (2019). Arousal regulates frequency tuning in primary auditory cortex. Proceedings of the National Academy of Sciences. 116(50). 25304–25310. 32 indexed citations
4.
Kato, Hiroyuki, Samuel K. Asinof, & Jeffry S. Isaacson. (2017). Network-Level Control of Frequency Tuning in Auditory Cortex. Neuron. 95(2). 412–423.e4. 131 indexed citations
5.
Asinof, Samuel K., Connie L. Mahaffey, Barbara Beyer, Wayne N. Frankel, & Rebecca M. Boumil. (2016). Dynamin 1 isoform roles in a mouse model of severe childhood epileptic encephalopathy. Neurobiology of Disease. 95. 1–11. 21 indexed citations
6.
Asinof, Samuel K., Stacey J. Sukoff Rizzo, Barbara Beyer, et al.. (2015). Independent Neuronal Origin of Seizures and Behavioral Comorbidities in an Animal Model of a Severe Childhood Genetic Epileptic Encephalopathy. PLoS Genetics. 11(6). e1005347–e1005347. 26 indexed citations
7.
Asinof, Samuel K. & Tracie A. Paine. (2014). The 5-Choice Serial Reaction Time Task: A Task of Attention and Impulse Control for Rodents. Journal of Visualized Experiments. e51574–e51574. 40 indexed citations
8.
Asinof, Samuel K. & Tracie A. Paine. (2014). The 5-Choice Serial Reaction Time Task: A Task of Attention and Impulse Control for Rodents. Journal of Visualized Experiments. 13 indexed citations
9.
Paine, Tracie A., et al.. (2013). Medial prefrontal cortex lesions impair decision-making on a rodent gambling task: Reversal by D1 receptor antagonist administration. Behavioural Brain Research. 243. 247–254. 46 indexed citations
10.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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